距离法购买力平价测算研究

发布时间：2018-06-13 19:36

本文选题：最小间隔树 + 最短距离法　；参考：《青岛大学》2017年硕士论文

【摘要】：如今世界各国经济竞争愈加激烈,各国都想了解自己的经济地位,因此研究经济差异的国际比较项目受到越来越多的关注。国际比较项目研究发现,计算购买力平价并进行经济分析往往能得到理想的比较结果。购买力平价测算方法是根据“一价定律”经济理论发展而来的,其计算结果更贴近实际经济状况。中国地域辽阔、地区经济差异明显,研究中国各省市经济差异同样可以采用购买力平价测算方法。距离法购买力平价测算研究分别运用最小间隔树和最短距离法进行实证研究,并对两种实证结果进行比较。文章在介绍距离法理论基础后,分别运用最小间隔树法和最短距离法对中国31个省市的经济发展状况进行实证比较分析,并比较两种方法异同点。文章不仅对最小间隔树法和最短距离法理论及实证分析方法作了详细阐述,而且分别运用两种方法实证分析中国省市之间经济发展水平,最后对最短距离法实证分析步骤作出了改进。距离法购买力平价测算研究是用广义距离作为区域差异衡量指标,通过寻找最优路径并测算各地区购买力平价的方式分析地区间经济差异。文章采用拉氏和帕氏指数之差(LPS)作为距离衡量指标,分别运用MST和MD进行实证研究,提出MD实证改进步骤并验证。文章得到以下几个结论:第一,MST实证研究是从宏观到微观、从整体到局部的过程,最小间隔树法将所有比较地区融为一个整体,该方法整体性很强;最短距离法实证分析是从微观到宏观、从局部到整体的过程,该方法局部性更强。第二,MD最优路径长度和距离明显小于MST最优路径和距离,从最优路径这个角度考虑,最短距离法优于最小间隔树方法。第三,MST和MD实证分析所得购买力平价排序结果完全相同。第四,两种方法在本文实证研究中稳定性较强,不同省市分别作参考省得到相同的PPP排列顺序。文章不足之处:第一,因数据无法获得,没有运用绝对数量差异指数(WAQD)和相对价格差异指数(WRPD)进行实证并与LPS结果比较;第二,文章实证研究数据范围是消费型商品,所得结论只适用于消费类商品领域;第三,MD实证改进步骤运算量仍很大,最短距离法实证方法需要更深层次改进。
[Abstract]:Nowadays, more and more countries in the world want to know their economic status, so more and more attention has been paid to the international comparative project of studying economic differences. The International comparison Project finds that calculating purchasing power parities and conducting economic analysis often result in ideal comparison results. The calculation method of purchasing power parity is developed according to the economic theory of "law of one price", and the calculation result is closer to the actual economic situation. China has a vast territory and obvious regional economic differences. The PPP method can also be used to study the economic differences between provinces and cities in China. The distance method is used to measure the purchasing power parity (PPP), and the minimum interval tree and the shortest distance method are used to carry out the empirical research, and the two empirical results are compared. After introducing the theoretical basis of distance method, this paper compares and analyzes the economic development of 31 provinces and cities in China by using the minimum interval tree method and the shortest distance method, and compares the similarities and differences between the two methods. This paper not only elaborates the theory and empirical analysis method of minimum interval tree method and shortest distance method, but also uses two methods to analyze the level of economic development between provinces and cities in China. Finally, the shortest distance method is improved. The study of distance PPP is to use generalized distance as an index to measure regional differences and analyze the regional economic differences by looking for the optimal path and measuring the PPP of different regions. In this paper, the difference between LPSs and LPSs is used as the measure of distance, and MST and MD are used in the empirical research, and the improvement steps of MD are put forward and verified. This paper draws the following conclusions: first, MST empirical research is from macro to micro, from the whole to the local process, the minimum spacer tree method to all comparative areas into a whole, this method has a strong integrity; The empirical analysis of the shortest distance method is from micro to macro, from local to whole, and the method is more local. Second, the length and distance of the MD optimal path is obviously smaller than the MST optimal path and distance. From the view of the optimal path, the shortest distance method is superior to the minimum interval tree method. Third, MST and MD empirical analysis of purchasing power parity ranking results are identical. Fourth, the two methods have strong stability in this empirical study, different provinces and cities as reference provinces to obtain the same PPP order. First, because the data are not available, the absolute quantity difference index (WAQD) and the relative price difference index (WRPD) are not used to carry on the demonstration and compare with the result of LPS. The conclusion can only be used in the field of consumer goods, the third is that the calculation of the improvement steps of MD is still very large, and the method of the shortest distance method needs to be further improved.
【学位授予单位】：青岛大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F126.1

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